Quantile functions are equivalent alternatives to distribution functions in modeling and analysis of statistical data. The present article discusses the role of quantile functions in reliability studies. We present the hazard, mean residual, variance residual, and percentile residual quantile functions, their mutual relationships and expressions for the quantile functions in terms of these functions. Further, some theoretical results relating to the Hankin and Lee (2006) lambda distribution are discussed.
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Department of Statistics, Cochin University of Science and Technology, CochinDepartment of Statistics, Cochin University of Science and Technology, Cochin
Krishnan A.S.
Sankaran P.G.
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Department of Statistics, Cochin University of Science and Technology, CochinDepartment of Statistics, Cochin University of Science and Technology, Cochin
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Cornell Univ, Dept Stat & Data Sci, Ithaca, NY 14853 USACornell Univ, Dept Stat & Data Sci, Ithaca, NY 14853 USA
Zhang, Tao
Kato, Kengo
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Cornell Univ, Dept Stat & Data Sci, Ithaca, NY 14853 USACornell Univ, Dept Stat & Data Sci, Ithaca, NY 14853 USA
Kato, Kengo
Ruppert, David
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Cornell Univ, Dept Stat & Data Sci, Ithaca, NY 14853 USA
Cornell Univ, Sch Operat Res & Informat Engn, Ithaca, NY USACornell Univ, Dept Stat & Data Sci, Ithaca, NY 14853 USA